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DOI: 10.14569/IJACSA.2017.080469
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Performance Evaluation of Anti-Collision Algorithms for RFID System with Different Delay Requirements

Author 1: Warakorn Srichavengsup

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 4, 2017.

  • Abstract and Keywords
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Abstract: The main purpose of Radio-frequency identification (RFID) implementation is to keep track of the tagged items. The basic components of an RFID system include tags and readers. Tags communicate with the reader through a shared wireless channel. Tag collision problem occurs when more than one tag attempts to communicate with the reader simultaneously. Therefore, the second-generation UHF Electronic Product Code (EPC Gen 2) standard uses Q algorithm to deal with the collision problem. In this paper, we introduce three new anti-collision algorithms to handle multiple priority classes of tags, namely, DC, DQ and DCQ algorithms. The goal is to achieve high system performance and enable each priority class to meet its delay requirement. The simulation results reveal that DCQ algorithm is more effective than the DC and DQ algorithms as it is designed to flexibly control and adjust system parameters to obtain the desired delay differentiation level. Finally, it can conclude that the proposed DCQ algorithm can control the delay differentiation level and yet maintain high system performance.

Keywords: RFID; Anti-collision; Q algorithm; Priority

Warakorn Srichavengsup, “Performance Evaluation of Anti-Collision Algorithms for RFID System with Different Delay Requirements” International Journal of Advanced Computer Science and Applications(IJACSA), 8(4), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080469

@article{Srichavengsup2017,
title = {Performance Evaluation of Anti-Collision Algorithms for RFID System with Different Delay Requirements},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080469},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080469},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Warakorn Srichavengsup}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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